InfoLibrarian™ Enterprise Metadata Framework — Portfolio Archive (2005–2020)
A 15-year record of Brian Brewer’s work: enterprise metadata software and Fortune 100 consulting, consolidated here as the InfoLibrarian Framework.
The framework centers on metadata integration at scale: controlled vocabularies (taxonomies, thesauri), meta-models, lineage & impact analysis, and standardized integration patterns. It is a reference from past work, not a current supported product.
Core design (2005–2020): enterprise meta-models built on knowledge graph and property-graph principles — designed by Brian Brewer — implemented over a relational ORM for open, flexible integration across complex environments.
- Rapid mapping of arbitrary metadata sources to the property-graph meta-model.
- First-class support for business glossaries, taxonomies, thesauri, and ontologies.
- Universal adapters and an API framework for ingest, mapping, and integration.
- Lightweight web content management & generation layer for enterprise data marketplace portals.
Semantic & Knowledge Layer (Portfolio)
We modeled the business language—taxonomies, thesauri, ontologies—and mapped it into a property-graph meta-model (designed by Brian Brewer), deployed over a relational ORM. This created a semantic layer above heterogeneous systems, enabling knowledge management without replacing existing tools.
- Controlled vocabularies: glossary terms, taxonomies, thesauri aligned to domains.
- Concept ↔ physical mappings: meta-model links definitions to schemas, tables, fields.
- Lineage & impact: trace relationships across systems for change awareness.
- Context services API: universal adapters + API framework expose meaning to apps.
- Knowledge services: search/discovery and portal UI for business self-service.
Enterprise Metadata Management
This 15+ year foundation powered scalable data governance, applied accross enterprise programs.
- Big data metadata
- Metadata ingestion
- Schema
- Data lineage
- Impact analysis
- Computational
- Operational metrics
- Property Graphs, Knowledge Graphs, and Ontologies
- Business glossary
- Taxonomies
- Semantics
- Data products
- Stewardship workflows
- Data marketplaces
- Single sign-on
- Governance dashboards
- Business perspectives
- Consumer workflows
- Democratization
- Shopping experience
- AI Chat UX
Capabilities:
- ✓ Comprehensive Metadata Capture
- ✓ Data Model Integration
- ✓ Semantic Layer Development
- ✓ Automated Discovery
Enterprise Metadata Management (EMM) enables:
- Metadata Integration: Unifies metadata across ecosystems.
- Governance & Compliance: Enforces policies and tracks lineage.
- Data Product Enablement: Turns metadata into actionable products.
- AI & Analytics Acceleration: Fuels AI with trusted metadata.
- Cloud & Hybrid Support: Operates across environments.
